![](/images/graphics-bg.png)
Convergence Rates and Limit Theorems for the Dual Markov Branching Process
Author
Source
Journal of Probability and Statistics
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-16
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper studies aspects of the Siegmund dual of the Markov branching process.
The principal results are optimal convergence rates of its transition function and limit theorems in the case that it is not positive recurrent.
Additional discussion is given about specifications of the Markov branching process and its dual.
The dualising Markov branching processes need not be regular or even conservative.
American Psychological Association (APA)
Pakes, Anthony G.. 2017. Convergence Rates and Limit Theorems for the Dual Markov Branching Process. Journal of Probability and Statistics،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1186251
Modern Language Association (MLA)
Pakes, Anthony G.. Convergence Rates and Limit Theorems for the Dual Markov Branching Process. Journal of Probability and Statistics No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1186251
American Medical Association (AMA)
Pakes, Anthony G.. Convergence Rates and Limit Theorems for the Dual Markov Branching Process. Journal of Probability and Statistics. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1186251
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186251